Avoid using dollar signs in variable names

Cette page n'est pas encore disponible en français, sa traduction est en cours.
Si vous avez des questions ou des retours sur notre projet de traduction actuel, n'hésitez pas à nous contacter.

Metadata

ID: java-code-style/avoid-dollar-signs

Language: Java

Severity: Notice

Category: Code Style

Description

Avoid using dollar signs in identifiers as auto-generated names containing dollar signs ($) may lead to unexpected issues that can be difficult to diagnose.

Non-Compliant Code Examples

public class $Foo {}
public class Fo$o {}
public class Foo$ {
    String bar$ = "bar";

    public String ba$ (){
        return "baz";
    }
}

/*
/* Copyright 2018-2024 contributors to the OpenLineage project
/* SPDX-License-Identifier: Apache-2.0
*/

package io.openlineage.spark3.agent.lifecycle.plan.column;

import static org.mockito.ArgumentMatchers.any;
import static org.mockito.Mockito.doAnswer;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.mockStatic;
import static org.mockito.Mockito.never;
import static org.mockito.Mockito.times;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.when;

import io.openlineage.spark.agent.lifecycle.plan.column.ColumnLevelLineageBuilder;
import io.openlineage.spark.agent.lifecycle.plan.column.ColumnLevelLineageContext;
import io.openlineage.spark.agent.util.ScalaConversionUtils;
import io.openlineage.sql.ColumnMeta;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.atomic.LongAccumulator;
import org.apache.spark.sql.catalyst.expressions.Attribute;
import org.apache.spark.sql.catalyst.expressions.AttributeReference;
import org.apache.spark.sql.catalyst.expressions.ExprId;
import org.apache.spark.sql.catalyst.expressions.NamedExpression;
import org.apache.spark.sql.catalyst.util.CaseInsensitiveMap$;
import org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions;
import org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation;
import org.apache.spark.sql.types.IntegerType$;
import org.apache.spark.sql.types.Metadata$;
import org.apache.spark.sql.types.StringType$;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import org.mockito.MockedStatic;
import org.mockito.stubbing.Answer;

class JdbcColumnLineageExpressionCollectorTest {
  ColumnLevelLineageBuilder builder = mock(ColumnLevelLineageBuilder.class);
  ColumnLevelLineageContext context = mock(ColumnLevelLineageContext.class);
  ExprId exprId1 = ExprId.apply(20);
  ExprId exprId2 = ExprId.apply(21);
  ExprId dependencyId1 = ExprId.apply(0);
  ExprId dependencyId2 = ExprId.apply(1);

  Attribute expression1 =
      new AttributeReference(
          "k", IntegerType$.MODULE$, false, Metadata$.MODULE$.empty(), exprId1, null);
  Attribute expression2 =
      new AttributeReference(
          "j", StringType$.MODULE$, false, Metadata$.MODULE$.empty(), exprId2, null);

  JDBCRelation relation = mock(JDBCRelation.class);
  JDBCOptions jdbcOptions = mock(JDBCOptions.class);
  String jdbcQuery =
      "(select js1.k, CONCAT(js1.j1, js2.j2) as j from jdbc_source1 js1 join jdbc_source2 js2 on js1.k = js2.k) SPARK_GEN_SUBQ_0";
  String invalidJdbcQuery = "(INVALID) SPARK_GEN_SUBQ_0";
  String url = "jdbc:postgresql://localhost:5432/test";
  Map<ColumnMeta, ExprId> mockMap = new HashMap<>();

  @BeforeEach
  void setup() {
    when(relation.jdbcOptions()).thenReturn(jdbcOptions);

    scala.collection.immutable.Map<String, String> properties =
        ScalaConversionUtils.<String, String>asScalaMapEmpty();
    when(jdbcOptions.parameters())
        .thenReturn(CaseInsensitiveMap$.MODULE$.<String>apply(properties));
    when(context.getBuilder()).thenReturn(builder);
  }

  @Test
  void testInputCollection() {
    when(jdbcOptions.tableOrQuery()).thenReturn(jdbcQuery);
    when(jdbcOptions.url()).thenReturn(url);
    final LongAccumulator id = new LongAccumulator(Long::sum, 0L);
    try (MockedStatic<NamedExpression> utilities = mockStatic(NamedExpression.class)) {
      utilities
          .when(NamedExpression::newExprId)
          .thenAnswer(
              (Answer<ExprId>)
                  invocation -> {
                    ExprId exprId = ExprId.apply(id.get());
                    id.accumulate(1);
                    return exprId;
                  });
      doAnswer(
              invocation ->
                  mockMap.putIfAbsent(invocation.getArgument(0), invocation.getArgument(1)))
          .when(builder)
          .addExternalMapping(any(ColumnMeta.class), any(ExprId.class));

      when(builder.getMapping(any(ColumnMeta.class)))
          .thenAnswer(invocation -> mockMap.get(invocation.getArgument(0)));

      JdbcColumnLineageCollector.extractExpressionsFromJDBC(
          context, relation, Arrays.asList(expression1, expression2));

      verify(builder, times(1)).addDependency(exprId2, dependencyId1);
      verify(builder, times(1)).addDependency(exprId2, dependencyId2);
      utilities.verify(NamedExpression::newExprId, times(3));
    }
  }

  @Test
  void testInvalidQuery() {
    when(jdbcOptions.tableOrQuery()).thenReturn(invalidJdbcQuery);
    when(jdbcOptions.url()).thenReturn(url);

    JdbcColumnLineageCollector.extractExpressionsFromJDBC(
        context, relation, Arrays.asList(expression1, expression2));

    verify(builder, never()).addDependency(any(ExprId.class), any(ExprId.class));
  }
}\

Compliant Code Examples

public class Foo { }
https://static.datadoghq.com/static/images/logos/github_avatar.svg https://static.datadoghq.com/static/images/logos/vscode_avatar.svg jetbrains

Seamless integrations. Try Datadog Code Analysis

PREVIEWING: may/unit-testing